Omid Shams Solari, Ph.D.
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    • AntigenBinder: An End-To-End Framework for Neo-Antigen Immunogenicity Likelihood Estimation
    • Cell-Type Decomposition Via Robust Non-Negative Matrix Factorization
    • XPLoRA: Robust Low-Rank Adaptation of LLMs via Regularized Power Method
    • BayesBreak
    • PostMoDisco: A Semi-Supervised Multi-Modal U-Transformer Model for In-Silico Prediction of Post-Translational Modifications
    • Circulating differential methylation allele fraction (DMAF) strongly correlates with circulating tumor DNA (ctDNA) variant allele fraction (VAF)
    • Comparison of colorectal cancer (CRC) characteristics across genetic ancestries: Implications for early cancer detection (ECD).
    • Comprehensive analysis of differentially methylated regions in colorectal cancer (CRC).
    • Sa1175 COMPARISON OF COLORECTAL CANCER (CRC) CHARACTERISTICS ACROSS GENETIC ANCESTRIES: IMPLICATIONS FOR EARLY CANCER DETECTION
    • example:
    • Tail Probability Estimation of Factor Models with Regularly-Varying Tails: Asymptotics and Efficient Estimation
    • Cell-free DNA fragments inform epigenomic mechanisms for early detection of breast cancer
    • BLOCCS: Block Sparse Canonical Correlation Analysis With Application To Interpretable Omics Integration
    • BLOCCS: Block Sparse Canonical Correlation Analysis With Application To Interpretable Omics Integration
    • Exploiting regulatory heterogeneity to systematically identify enhancers with high accuracy
    • Large Deviations of Linear Models with Regularly-Varying Tails: Asymptotics and Efficient Estimation
    • Large-Scale Interpretable Multi-View Learning for Very High-Dimensional Problems with
    • Large-Scale Interpretable Multi-View Learning for Very High-Dimensional Problems with Application to Multi-Omic Data
    • Sparse canonical correlation analysis via concave minimization
    • Early transcriptional response pathways in Daphnia magna are coordinated in networks of crustacean-specific genes
    • Pattern of DNA methylation in Daphnia: evolutionary perspective
    • Daphnia magna transcriptome by RNA-Seq across 12 environmental stressors
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  • Blog
    • Self-Attention vs Cross-Attention
    • Low-Rank Adaptation
    • Inferring Age From Epigenetic Data
    • MethylSuite
    • U-GAN
    • 👩🏼‍🏫 Teach academic courses
    • Protein Language Models
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    • Deep Learning
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Deep Learning

Oct 26, 2023 · 1 min read
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scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

Last updated on Oct 26, 2023
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Omid Shams Solari
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Omid Shams Solari
Lead AI Research Scientist
Machine Learning From Scratch Oct 26, 2023 →

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